IBM: Quantitative computing accelerates the transformation of the knowledge economy in the Emirates

Dr. Ismail Younis Aklawaya, the research scientist in the research department in "IBM", said that the development of quantum computing sciences in the UAE and building a quantitative computer that certainly helps the state in achieving its plans to accelerate the transformation towards the knowledge economy, indicating that ignoring the opportunity of quantum computing now,It will be just like ignoring the chance of traditional computing in the past.

Alawaya added in exclusive statements to the "Economic Statement", that the quantitative computers allow the provision of major contributions in several main sectors, noting that the chemistry, materials, financing and supply chains will be the most beneficial in the country during the early stages of developing quantitative computing..

IBM has finally built IBM Quantum, which includes 140 dealers, including dozens of universities and startups, and allows access to our most advanced devices in the framework of continuing our mission to build skills around the world.

Intermediate accounts

"The problems that the quantitative computers expect to solve better than the traditional devices are those that include a huge amount of intermediate accounts.Most of the time, it is easy to determine the difficulties offered and the way they are solve.

As is the case in chemistry when the nature of the formation is determined by a few electrons over the course of a specific molecule, while the average possibilities are of a foundation nature.Or in the field of financing when the optimum portfolio derived from a few candidate shares is determined, while the average formations are of a Asian nature ».

"Accelerated discovery"

Alawaya pointed out that the ability of the quantitative computers to access a worse number of possibilities open promising horizons for a new way to accelerate the scientific approach, and this is called "accelerated discovery".The traditional scientific approach, which starts from generating hypotheses, experimenting, analyzing and repeating them, is unfortunately a very slow path.

But there are three advanced technologies that currently work to advance this path: quantitative computing, hybrid cloud, artificial intelligence and automation.

He continued: «For example, trying to solve global warming, as the cloud -based computers opens the horizons of generating new chemical stimuli more efficient in carbon capture, and it can be tested and analyzed in a wet laboratory“ automated robot ”with“ Internet of Things ”technology, and the process can be repeated.The whole of artificial intelligence expectations.

This opens for the scientific curriculum completely new horizons to continue forming society, similar to what he did at the beginning of our modern technological age ».

Mighty devices

وحول الفرق بين أجهزة الكمبيوتر التقليدية والكمية، أوضح أخلوايا بالقول: «تُعدّ الكمبيوترات الكمية Mighty devices تتبع نهجاً جديداً في معالجة المعلومات.Its design is allowed according to the principles of quantum mechanics to use the amazing nature laws.

By harnessing the uncommon behavior of quantitative particles, these devices can use new patterns of algorithms that can solve problems much faster than traditional computers, including problems that future traditional devices will be unable to solve, such as chemical simulations to discover medicines and machine learning problems that includeSimilar patterns ».

Despite our ability to represent very many information in the quantitative computer, we can only download and empty a small amount.Which forced us to (summarize) all of that information.The way available to implement this is called the overlap, which collects and deletes all information to find a simplified answer.This additional restriction shows the amount of difficulty in reaching algorithms and applications of new quantity, and the reason that makes it a fertile field of research.

Continuous progress

On the reasons that prompted IBM to build a quantitative computer for the first time, Aklawaya said: “The classic computing provided great services to society, such as laptops and giants..

Where I opened the door of the Internet and the non -cash trade, and sent the human to the moon, and put robots on Mars and smart phones in our pockets.But the largest puzzles of the world and the greatest opportunity are still far from the reach of classic computers.The continuation of the pace of progress requires us to enhance the classic approach by adding a new platform that operates according to its own rules system.

IBM was the first company to put this new system and study the way it works, since the eighties.When the strength of these rules began with the Syrians in the broader scientific community, the company continued to invest in quantitative computing in the hope that the quantitative computers will succeed one day in solving the problems facing the world..

Quantitative computing history

The idea of building a quantitative computer is often attributed to a conference held in Boston 1942, participated in hosting the Massachusetts Institute of Technology and IBM, in which the American scientist Richard Fainman, who won the Nobel Prize, presented physics, challenge the development of a new strain fromComputers based on quantum physics in front of a group of computer scientists.

After several decades, these discussions were slowly crystallized, but they were considered just dreams until 1994, when the scientist Peter Shore, for the first time a algorithm that carried his name, showed that the quantitative computers are not only useful in simulating physics, but can also solve some difficult problemsMany faster classic computers.

300.000

In 2016, IBM set the first cloud quantitative computer under free and open use by everyone.After nearly 5 years, the number of users of the company's quantitative computers reached 300.000 users, carried out hundreds of billions of logical construction operations (more than a billion operations per day) on real devices and simulations, which resulted in the issuance of more than 400 research papers for external entities.

Follow the economic statement via Google News